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Alibaba and RoboSense announce G Plus solid-state LiDAR unmanned logistics vehicle

31 May, 2018
Alibaba and RoboSense announce G Plus solid-state LiDAR unmanned logistics vehicle
Alibaba and RoboSense announce G Plus solid-state LiDAR unmanned logistics vehicle
The unmanned cars and trucks can also be equipped with different smart devices according to demand, turning the vehicle into a courier vehicle, a mobile self-pickup station, a mobile coffee vending cart, etc., which can be applied to various new retail scenarios.

May 31, 2018 – Alibaba Group’s Cainiao Network and RoboSense jointly released G Plus, a solid-state LiDAR unmanned logistics vehicle. Announced at Alibaba Group’s Cainiao Network 2018 Global Smart Logistics Summit held in Hangzhou, China, the most important feature of the G Plus driverless delivery vehicles is the solid-state LiDAR technology, the RS-LiDAR-M1Pre, developed by China’s RoboSense. This is the first time that solid-state LiDAR has been officially used in the development of an unmanned vehicle.

RoboSense has reached a strategic partnership with Alibaba to provide delivery vehicles with solid-state LiDARs for all G Plus unmanned logistics cars. The vehicles can be mass-produced, allowing the expansion of unmanned logistics vehicles and streamlining mass market delivery logistics, for the popularization of the vehicles. The unmanned cars and trucks can also be equipped with different smart devices according to demand, turning the vehicle into a courier vehicle, a mobile self-pickup station, a mobile coffee vending cart, etc., which can be applied to various new retail scenarios.

The Alibaba’s Cainiao G Plus unmanned delivery vehicle is equipped with three RS-LiDAR-M1Pres, two in the front and one in the rear, to ensure 3D perception of the driving environment. This allows unmanned delivery vehicles to see the direction of travel, including the shape, distance, azimuth, travel speed, and direction of travel of pedestrians, cars, trucks, and other obstacles, as well as the exact areas on which roads can be driven, etc., to ensure the flow of unmanned logistics vehicles in a complex road environment.

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